How do you mitigate the generation of low-quality samples in GANs during the early training stages

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With the help of code in python can you show how to mitigate the generation of low-quality samples in GANs
Nov 8 in Generative AI by Ashutosh
• 5,810 points
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1 answer to this question.

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You can mitigate the generation of low-quality samples in GANs by referring to the following:

This code reference shows that whenever discriminator finds samples as low quality then it penalizes the generator ,hence helps in improving the output.

answered Nov 8 by akhil yadav

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